Data Based Cancer Research And Treatment Systems And Methods

What is this patent about?

’226 is related to the field of data management and analysis in healthcare , specifically focusing on cancer research and treatment. The patent addresses the challenges of efficiently capturing, storing, and utilizing diverse data types, including clinical records and genomic sequencing data, to improve cancer treatment planning. The background highlights the limitations of existing systems in handling the complexity and volume of cancer-related data, particularly the integration of genomic information with traditional clinical data.

The underlying idea behind ’226 is to create a multi-layered database system that optimizes data storage and access for different purposes. This involves capturing raw clinical data and genomic sequencing data, then transforming and structuring it into purpose-specific databases. The key insight is that a single database structure is not optimal for all uses, so the system employs a "data lake" for raw data, a "data vault" for structured data optimized for searching, and "data marts" for application-specific data.

The claims of ’226 focus on a method and system for storing and processing patient data , including clinical records and genomic sequencing data, to support cancer research and treatment. The independent claims cover the steps of obtaining clinical data, storing it in a semi-structured database, generating and storing genomic sequencing data, shaping the data into a structured format optimized for searching, storing the structured data in a second database, and then creating application-specific subsets of data in a third database. The claims also emphasize the role of an orchestration manager in initiating micro-service programs based on satisfied prerequisites.

In practice, the invention involves a workflow where clinical records and genomic data are first stored in a raw, semi-structured format in the data lake. Then, a series of micro-services process and transform this data, structuring it for efficient searching and analysis in the data vault. Finally, application-specific data marts are created to provide optimized data access for various user applications, such as those used by physicians or researchers. The orchestration manager ensures that these micro-services are executed in the correct order, based on data dependencies.

’226 differentiates itself from prior approaches by recognizing the need for purpose-built databases and a micro-service architecture to handle the diverse data types and analytical needs in cancer research and treatment. Unlike traditional systems that rely on a single, monolithic database, ’226 uses a layered approach with a data lake, data vault, and data marts, each optimized for a specific purpose. This allows for more efficient data access, faster analytics, and more rapid development of new applications and interfaces. The micro-service architecture also enables independent teams to work on different aspects of the system, facilitating rapid adaptation to new data types and research insights.